A Natural Phenomenon Emphasizing of the Thunderstorm Processes and Salmon Migration for the Optimal Power Production of the Power System Operation

This paper presents an adoption of a natural phenomenon as Thunderstorm Algorithm (TA) which is applied to solve a problem of the power production composition under various constraints. This work also introduces artificial salmon tracking algorithm (ASTA) for defining the optimal strategy of the pow...

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Bibliographic Details
Published in2018 International Seminar on Application for Technology of Information and Communication pp. 104 - 109
Main Authors Afandi, A.N., Fadlika, Irham, Rahmawati, Yuni, Alief Sias, Quota, Gumilar, Langlang, Dwi Wahyono, Irawan, Sulistyorini, Yunis
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2018
Subjects
Computational modeling
Economic dispatch
emission dispatch
Fuels
Generators
Load modeling
operating cost
Power systems
Production
Rivers
salmon tracking
thunderstorm algorithm
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DOI10.1109/ISEMANTIC.2018.8549823

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Summary:This paper presents an adoption of a natural phenomenon as Thunderstorm Algorithm (TA) which is applied to solve a problem of the power production composition under various constraints. This work also introduces artificial salmon tracking algorithm (ASTA) for defining the optimal strategy of the power system on the power consumption. Both algorithms are tested on the IEEE-62 bus system as a selected structure for the mathematical cased model. By considering all parameters, results show that ASTA can be applied to predict the power consumption and TA also has good performances while searching the optimal solution. Moreover, the power production can be presented throughout an economic dispatch problem. Technically, this computation demonstrates the optimal solution with fast convergence and short time consumption. These processes also perform smooth and stable characteristics for the searching completion.
DOI:10.1109/ISEMANTIC.2018.8549823